Business Systems Analyst - Reinsurance

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Position Summary:

The Business Systems Analyst will be responsible for playing a critical role in translating complex business needs into smart, scalable technology solutions, while leveraging AI, automation and modern data tools to drive better outcomes, faster.

Key Accountabilities:

• Partner with business stakeholders, and technical teams to gather, document, and prioritize business and functional requirements for system changes and enhancements.
• Translate business problems into structured, scalable solutions that align with modern architecture, including cloud-native platforms and AI-driven capabilities.
• Use data analysis and modelling techniques to support root cause investigations, opportunity identification, and performance optimization.
• Drive process improvements by recommending areas for automation, standardization, or the application of AI and machine learning tools to streamline actuarial and reinsurance workflows.
• Contribute to solution design and testing phases, ensuring end-to-end alignment of user needs, technical implementation, and business objectives.
• Support UAT, defect resolution, and deployment readiness activities—working across DevOps, QA, and stakeholder teams.
• Build and maintain process flow diagrams, requirement traceability matrices, and knowledge documentation using modern tools.
• Begin developing subject matter expertise in treaty onboarding, actuarial modeling, and reinsurance workflows, contributing to long-term capability growth.

Qualifications, Skills & Experience:

• Undergraduate Degree in business, actuarial science, computer science, finance, or a related field; equivalent experience also considered is required.
• 2–5 years of experience in business or systems analysis, ideally in insurance, reinsurance, or financial services, preferred
• Demonstrated ability to gather, structure, and communicate business requirements effectively.
• Proficiency with data analysis tools including SQL, Excel, and at least one BI/reporting tool (e.g., Looker, Power BI, Tableau).
• Exposure to or interest in applying AI/ML tools, natural language processing, or metadata-driven automation to business problems.
• Familiarity with modern delivery practices (Agile, DevOps) and collaboration tools (e.g., Jira, Confluence, Lucidchart).
• Strong problem-solving mindset, excellent communication skills, and a collaborative approach.
• Nice to have: Experience with AWS, GCP, or cloud-based data lakes; knowledge of reinsurance and actuarial systems.
• Critical Skills
• At Resolution Life, we have identified the following critical skills which are key to success in our culture: 
• Customer Focused: Passionate drive to delight our customers and offer unique solutions that deliver on their expectations.
• Critical Thinking: Thoughtful process of analyzing data and problem solving data to reach a well-reasoned solution.
• Team Mentality: Partnering effectively to drive our culture and execute on our common goals. 
• Business Acumen: Appreciation and understanding of the financial services industry in order to make sound business decisions. 
• Learning Agility: Openness to new ways of thinking and acquiring new skills to retain a competitive advantage.